6.456 Array Processing

Class Info

Adaptive and non-adaptive processing of signals received at arrays of sensors. Deterministic beamforming, space-time random processes, optimal and adaptive algorithms, and the sensitivity of algorithm performance to modeling errors and limited data. Methods of improving the robustness of algorithms to modeling errors and limited data are derived. Advanced topics include an introduction to matched field processing and physics-based methods of estimating signal statistics. Homework exercises providing the opportunity to implement and analyze the performance of algorithms in processing data supplied during the course.

This class has 6.341, 2.687, 6.011, and 18.06 as prerequisites.

6.456 will be offered this semester (Fall 2019). It is instructed by E. Fischell.

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.456 - Google Search site or on the 6.456 Stellar site.

MIT 6.456 Array Processing Related Textbooks
MIT 6.456 Array Processing On The Web

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